esoftlogic

Unlock the Power of Artificial Intelligence with Our Expert-Led Courses
Master AI tools, techniques, and technologies to drive innovation and solve complex problems.

OVERVIEW​
  • Comprehensive AI Training: Learn about machine learning, deep learning, neural networks, and other AI technologies with practical applications in various industries.

  • -Hands-On Projects and Labs: Work on real-world AI projects such as image recognition, natural language processing, and predictive modeling to gain practical experience.

  • Industry-Recognized Certifications: Prepare for certifications like TensorFlow, Azure AI Engineer, or Google AI certifications, recognized globally across industries.

Why Choose Our AI Courses?

Reason 01

Cutting-Edge Curriculum

Cutting-Edge Curriculum

Explore the latest AI technologies and methodologies, including deep learning, reinforcement learning, and neural networks, all tailored for both beginners and advanced learners.

Reason 02

Hands-On Real-World Projects

Hands-On Real-World Projects

Engage in industry-relevant projects such as AI-powered chatbots, recommendation engines, and autonomous decision systems.

Reason 03

Preparation for AI Certifications

Preparation for AI Certifications

Receive guidance and resources to help you pass top AI certifications from Microsoft, Google, and AWS to boost your career prospects.

Reason 04

Career Support and Networking Opportunities

Career Support and Networking Opportunities

Benefit from career support services, including resume building, interview prep, and access to a network of AI professionals.

Reason 05

Expert Instructors and Mentorship

Expert Instructors and Mentorship

Learn from experienced AI professionals and gain insights into how AI is transforming industries like healthcare, finance, and autonomous systems.

Reason 06

High Demand for AI Professionals

High Demand for AI Professionals

With AI skills in high demand across industries, this course will help you enter a fast-growing job market with lucrative opportunities.

COURSE TIMELINE

  • Week 1-2: Introduction to Artificial Intelligence and Machine Learning

    Understand the fundamentals of AI, types of learning (supervised, unsupervised, reinforcement), and AI's applications across industries.

  • Week 3-4: Deep Learning and Neural Networks

    Delve into deep learning techniques, and neural networks, and explore tools like TensorFlow and Keras.

  • Week 5: Natural Language Processing and Computer Vision

    Learn about NLP, sentiment analysis, and building AI models for image recognition and object detection using convolutional neural networks.

    .

  • Week 6: AI Algorithms and Data Processing

    Work with various AI algorithms, data cleaning, and processing techniques. Learn how to prepare and train data for AI models.

  • Week 7: Advanced Topics in AI

    Explore reinforcement learning, generative adversarial networks (GANs), and other advanced AI topics used in gaming and simulation.

  • Week 8: Final Project and Certification Prep

    Complete an AI capstone project and prepare for industry certifications like TensorFlow Developer or Azure AI Engineer.

Career & Growth

Students Enrolled
0 K+
Students Placed
0 K+
Collabration Companies ​
0 K+

Testimonials

– Olivia Barnes Lead Data Scientist at NexTech Innovations

"The AI course provided me with practical skills and project experience that directly translated to my job. I now lead a team of data scientists."

– Alex Thompson AI Engineer at BrainWave Solutions

"This course helped me transition from a software engineer to an AI specialist. The real-world projects were invaluable."

– Daniel Kim Machine Learning Engineer at Quantum AI Labs

"Thanks to this course, I got certified in TensorFlow and landed a job at one of the top AI firms in the country."


Scroll to Top